Autoencoders

Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition Interspeech 2020 Autoencoding Improves Pre-trained Word Embeddings COLING 2020 Auto-Encoding Twin-Bottleneck Hashing CVPR 2020 Automatic Detection of Phonological Errors in Child Speech Using Siamese Recurrent Autoencoder Interspeech 2020 Batch norm with entropic regularization turns deterministic autoencoders into generative models UAI 2020 Bridged Variational Autoencoders for Joint Modeling of Images and Attributes WACV 2020 CASTER: Predicting Drug Interactions with Chemical Substructure Representation AAAI 2020 CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020 CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models NeurIPS 2020 Complete Dictionary Learning via ℓ_p-norm Maximization UAI 2020 Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra Interspeech 2020 Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation CVPR 2020 CompressNet: Generative Compression at Extremely Low Bitrates WACV 2020 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020 Convolutional dictionary learning based auto-encoders for natural exponential-family distributions ICML 2020 CoSE: Compositional Stroke Embeddings NeurIPS 2020 Cramer-Wold Auto-Encoder JMLR 2020 CvxNet: Learnable Convex Decomposition CVPR 2020 Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer COLING 2020 Deep Automodulators NeurIPS 2020 Deep Embedded Non-Redundant Clustering AAAI 2020 Deep Learning Based Open Set Acoustic Scene Classification Interspeech 2020 Deep Non-Line-of-Sight Reconstruction CVPR 2020 Deep reconstruction of strange attractors from time series NeurIPS 2020 Deep Subspace Clustering with Data Augmentation NeurIPS 2020